Data Scientist III [FORTUNE]

Company: Chewy

Industry: Private

Employment Type:- Full Time

Work Hours:-  8 Hours

Locations:- USA

Full Job Description:-

We are hiring awesome humans – and we hope that includes you!Are you looking for more than just a job? At Chewy – youll find yourself on a career path with other awesome humans – like yourself. Youll be part of a culture that values everything that you do – who you are – and the goals you have set for your career. We want to give you the opportunity to grow – earn competitive pay – and be happy… while you do it. Sounds simple – but we love it.Our Opportunity

We are looking for a Senior Data Scientist within Chewys quickly growing Customer Service Data Science team. The team uses Statistics – and Machine Learning techniques to understand and serve the needs of our pet parents. Developing data-driven solutions – we are an interdisciplinary team of data scientists who are committed to solving business problems using cutting edge technologies and developing data-driven marketing solutions.As part of the data science team at Chewy – you will have the opportunity to operate or lead as a full-stack data scientist. In that capacity – you will have the opportunity to design and develop the backend ML frameworks best suited for different business problems – build engineering pipelines to streamline the model development process and launch the decision engines that would help automate the ML-powered business solutions. For such efforts – you will closely work with the data science – ML Operations – analytics – and data engineering teams.

What You’ll Do

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  • Focusing on the instrumentality and the value-creation in everything you do – you will closely work with the stakeholders within the Customer Service organization.
  • You will transform their ideas – preliminary findings – or analyses – whenever applicable – into machine learning-driven business strategies – programs and actions that would help drive the core objectives.
  • As a data scientist – you will be responsible for making recommendations for experimentation and measurement by researching state-of-art methods – examining – and tuning the current methods with simulations.
  • Also – you will use causal inference methods to bring precision and speed in the decision-making process. You will be responsible for the full Data Science lifecycle from conception to prototyping – testing – deploying – and measuring the overall business value of the models.
  • In addition – you will periodically develop the model health reports to ensure the integrity of the underlying processes and assumptions.
  • Use data to improve how we make decisions and ultimately – enhance customer experience and drive loyalty.
  • You will surface deep insight hidden in our data lakes and provide tactical and strategic guidance on how to act on findings.
  • It will include developing data-science driven customer and contact segmentation.
  • Work with the data engineering and cloud engineering teams to develop the automated pipelines to perform different stages of the model life cycle (data collection and cleaning – model development and validation – model deployment and scoring – periodic validation – and refitting – etc.)
  • Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data.
  • Establish collaborative working relationships at all levels across various functional teams.

What You’ll Need

  • 4+ years of relevant experience as a Data Scientist/Analyst (MS+3 years or PhD in Data Science – Machine Learning – Economics – Statistics – Mathematics – Engineering – or related discipline) Demonstrated practical knowledge in the areas of Machine Learning – Deep Learning – experimentation.
  • Deep experience in at least one Data Science Subject area (e.g. – casual inference – NLP – forecasting – etc.)
  • Ability to manage the entire Data Science lifecycle – data prep – exploratory data analysis – modeling – interface with engineering.
  • Advanced proficiency in coding and data analysis using Python – SQL – and PySpark.
  • Excellent verbal and written communication skills and the ability to explain details of complex concepts to non-expert stakeholders in a simple and understandable way.
  • Experience of translating ambiguous customer requirements into clear problem definitions and delivering them Travel may be required
  • Bonus Experience with Amazon Web Services tools such as Redshift – Snowflake – Sage
  • Maker or other similar platforms Experience in object-oriented programming with Python
  • Experience with data visualization tools and packages (Tableau or similar) E-com – Retail or start up experience

Data Scientist III [FORTUNE]

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